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Description
Why do I input the same image with different resolutions, but the size of the object in the rendering result is different? As far as I know, the preprocess function of the image for different sizes of the image, the processed image is the same, only one is clear and another is blurred.
The input image to https://github.com/microsoft/TRELLIS/blob/eeacb0bf6a7d25058232d746bef4e5e880b130ff/example.py#L17:
image1（512x512):
image2（2048x2048):
image1 after preprocessing:
image2 after preprocessing:
The output of image1:
https://github.com/user-attachments/assets/6afe39b3-e5e3-49c5-8dbc-b430bfe4fc9b
The output of image2:
https://github.com/user-attachments/assets/ac7f3573-e0cb-4d05-8c40-4358946b1d0b
Why do objects occupy different proportions for the same 512 resolution?
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Research direction
Start with example.py at line 17 and reproduce the reported behavior using the two linked image resolutions. Trace the preprocessing and rendering path to identify where the object proportions diverge, then compare the resulting outputs against the issue’s examples. Done means the resolution-dependent behavior is explained and any required correction is covered by a reproducible test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100